Showing 8 open source projects for "reverse proxy server"

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  • 1
    IDA Pro MCP

    IDA Pro MCP

    MCP Server for IDA Pro

    The IDA Pro MCP Server is a Model Context Protocol (MCP) server designed to integrate with IDA Pro, a popular disassembler and debugger. It enables AI assistants to interact with IDA Pro, facilitating tasks such as code analysis and reverse engineering. ​
    Downloads: 11 This Week
    Last Update:
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  • 2
    Gemini-API

    Gemini-API

    Reverse-engineered Python API for Google Gemini web app

    Gemini-API is a community-created asynchronous Python wrapper for the web interface of Google’s Gemini models (formerly Bard). It is the result of reverse-engineering the Gemini web app and exposing its functionality through a programmatic API. This enables developers to incorporate Gemini into Python applications, scripts, bots, or tools without relying solely on official SDKs. The wrapper supports streaming responses, model selection, and handling of the web-based authentication/session...
    Downloads: 8 This Week
    Last Update:
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  • 3
    Binary Ninja MCP

    Binary Ninja MCP

    A Binary Ninja plugin, MCP server

    The Binary Ninja MCP is a plugin and bridge that integrates Binary Ninja with Large Language Model clients via the Model Context Protocol, enhancing reverse engineering workflows with AI assistance. ​
    Downloads: 4 This Week
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  • 4
    mcpo

    mcpo

    A simple, secure MCP-to-OpenAPI proxy server

    mcpo is a minimal bridge that exposes any MCP tool as an OpenAPI-compatible HTTP server. Instead of writing glue code, you point mcpo at an MCP server command and it generates REST endpoints and an OpenAPI spec that other systems (or LLM agent frameworks) can call immediately. This design lets you reuse a growing library of MCP servers with platforms that only understand HTTP+OpenAPI, unifying tool access across ecosystems. The project emphasizes “dead-simple” setup and pairs with Open WebUI...
    Downloads: 0 This Week
    Last Update:
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  • 5
    Windows Copilot API

    Windows Copilot API

    Reverse engineered Windows Copilot into an OpenAI-compatible API

    Windows Copilot API is an unofficial Python project that exposes the consumer Microsoft Copilot web experience through a programmable interface. It can be used directly as a Python library or launched as a local server compatible with the OpenAI API format. The client supports streamed responses, multi-turn conversations, and conversation identifiers. Browser-based sign-in stores a reusable session and refreshes it automatically for later requests. Because compatible applications can target...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Fli

    Fli

    Google Flights MCP and Python Library

    ...In addition to its CLI interface, fli includes a Model Context Protocol (MCP) server that allows AI assistants to interact with flight data using structured tools, enabling natural language queries and automation workflows.
    Downloads: 2 This Week
    Last Update:
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  • 7
    OpenAI-Compatible Edge-TTS API

    OpenAI-Compatible Edge-TTS API

    Free, high-quality text-to-speech API endpoint to replace OpenAI

    ...It exposes parameters for input text, voice selection, audio format, and playback speed, mirroring the OpenAI interface while mapping popular OpenAI voice names to equivalent Edge voices. Because it relies on Edge’s TTS, the audio generation itself is free, and the project essentially acts as a smart proxy that handles formatting and streaming. The server supports Server-Sent Events (SSE) for streaming audio, enabling low-latency playback in chat UIs and other interactive tools. A Docker image is provided for one-command deployment, and environment variables can be used to configure default voice, language, response format, authentication, and logging options.
    Downloads: 7 This Week
    Last Update:
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  • 8
    OpenAI Forward

    OpenAI Forward

    An efficient forwarding service designed for LLMs

    OpenAI Forward is an open-source forwarding and reverse proxy service for large language model APIs, designed to sit between client applications and model providers. Its main purpose is to make model access more manageable and efficient by adding operational controls such as request rate limiting, token rate limiting, caching, logging, routing, and key management around existing LLM endpoints.
    Downloads: 0 This Week
    Last Update:
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